Abstract
The device-free channel state information indoor fingerprint localization method may lead to phase offset errors, strong fingerprint noise and low sampling classification accuracy. In light of thes...
Highlights
IntroductionLocation-based service (LBS) has greatly increased the convenience of our daily lives.[1]
In recent years, location-based service (LBS) has greatly increased the convenience of our daily lives.[1]
The results show that the differences in the curves with the same trend are horizontal straight lines, while the phase difference (PD) with different trends displays a certain angle
Summary
Location-based service (LBS) has greatly increased the convenience of our daily lives.[1]. The PCA-PD processing of the characteristic data is conducted in both offline and online phase simultaneously This processing includes removing errors ( inter-group errors) generated during successive data sampling, correcting outliers among each communication link among the sub-carriers (intra-group errors) and PCA reduction of the dimensionality of the fingerprint data. The 25-grid-cell model training process is as follows: Step 1: Network initialization: based on the number of test point value sub-carriers in the system and the grid sequence identity Y, the number of nodes in the input layer n; the number of nodes in the hidden layer l; the number of nodes in the output layer m; the neuronal cell link weights of the initialized input layer vij, vjk; the hidden layer and the output layer; the initialized hidden layer threshold a and the output layer threshold b are determined, given the learning rate and excitation functions of the neurons.
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